Pay-for-performance in nursing homes.

Information on the impact of pay-for-performance programs is lacking in the nursing home setting. This literature review (1980-2007) identified 13 prior examples of pay-for-performance programs in the nursing home setting: 7 programs were active as of 2007, while 6 had been terminated. The programs were mostly short-lived, varied considerably in the choice of performance measures and pay incentives, and evaluations of the impact were rare

Factors Associated With Ordering Laboratory Monitoring Of High-Risk Medications

Background Knowledge about factors associated with provider ordering of appropriate testing is limited. Objective To determine physician factors correlated with ordering of recommended laboratory monitoring tests for high-risk medications, accounting for patient characteristics. Methods Analysis of the administrative claims and electronic medical records of patients prescribed a high-risk medication requiring laboratory monitoring in a large multispecialty group practice between January 1, 2008 and December 31, 2008. The outcome is a physician order for each recommended laboratory test for each prescribed medication. Key predictor variables include physician characteristics, including age, gender, specialty training, years since completing training, and prescribing volume. We used multivariable logistic regression to identify the independent association of physician and patient characteristics with ordering of laboratory tests to monitor medications after adjustment for potential confounders, taking into account clustering of drugs within patients and patients within providers. Results Physician orders for laboratory testing varied across drug-test pairs and ranged from 9% (Primidone–Phenobarbital level) to 97% (Azathioprine–CBC) with 50% of drug-test pairs in the 85-91% ordered range. Failure to order a test was associated with lower provider prescribing volume for study drugs and whether the physician was a specialist (primary care providers were more likely to order tests than specialists). Patients with lower patient comorbidity burden and younger patients were less likely to have appropriate tests ordered. Drug-test combinations with black box warnings were more likely to have tests ordered. Conclusions Interventions targeting providers should be addressed at those subgroups with the greatest potential for improvement: providers with lower frequencies of prescribing high-risk medications, and healthier and younger patients. Drug-test combinations with black box warnings have higher ordering rates, but many medications without such warnings also have evidence of harm, thus efforts to improve testing are necessary for all medications shown to be high-risk

Dissemination of Evidence-based Atypical Antipsychotic Information to Nursing Homes

Background: Accumulating evidence demonstrates minimal benefit and increased risk of off-label use of atypical antipsychotic medications for dementia-related behaviors. Optimal strategy for disseminating evidence-based guides to nursing home (NH) stakeholders is unclear. Our objective is to describe the impact of differing dissemination efforts in Connecticut NHs. Methods: Forty-three Connecticut NHs were randomized to one of 3 arms receiving incrementally intensive dissemination strategies of the Agency for Healthcare Research and Quality Comparative Effectiveness Review Summary Guide on the off-label use of atypical antipsychotic drugs, which was included in a toolkit informed by a needs assessment of NHs. All NHs received the paper-based toolkit and notifications regarding the online toolkit. Additionally, Arm 2 received individualized quarterly audit and feedback reports with atypical antipsychotic prescribing rates; Arm 3 received in-person educational visits and audit and feedback reports. Toolkit reach was assessed using interviews with NH leadership and staff. Online toolkit use was assessed using Google analytics. Results: Eighty leaders and 222 direct care staff were interviewed. Leadership and direct care staff in Arm 3 NHs were more likely to be familiar with the toolkit that those in Arm 1 (p=0.008) and Arm 2 (p Conclusions: Intensive dissemination, using multi-pronged approach including academic detailing and direct care staff trainings, appeared to be associated with higher familiarity with paper-based toolkit, but not Internet-based use of the toolkit in the NH setting

Technological Resources and Personnel Costs Required to Implement an Automated Alert System for Primary Care Physicians When Patients Transition from Hospitals to Home

Background With the adoption of electronic medical records by medical group practices, there are opportunities to improve the quality of care for patients discharged from hospitals. However, there is little guidance for medical groups outside of integrated hospital systems to automate the flow of patient information during transitions in care. Objective To describe the technological resources, expertise and time needed to develop an automated system providing information to primary care physicians when their patients transition from hospitals to home. Development Within a medical group practice, we developed an automated alert system that provides notification of discharges, reminders of the need for follow-up visits, drugs added during in-patient stays, and recommendations for laboratory monitoring of high risk drugs. We tracked components of the information system required and the time spent by team members. We used US national averages of hourly wages to estimate personnel costs. Application Critical components of the information system are notifications of hospital discharges through an admission, discharge and transfer registration (ADT) interface, linkage to the practice’s scheduling system, access to information on pharmacy dispensing and lab tests, and an interface engine. Total personnel cost was $76,314. Nearly half (47%) was for 614 hours by physicians who developed content, provided overall project management, and reviewed alerts to ensure that only “actionable” alerts would be sent. Conclusion Implementing a system to provide information about patient transitions requires strong internal informatics expertise, cooperation between facilities and ambulatory providers, development of electronic linkages, and extensive commitment of physician time

Understanding Antipsychotic Drug Use in the Nursing Home Setting

Introduction: The increasing prevalence of antipsychotic medication use in residents of nursing homes (NH) in the absence of psychiatric diagnoses is concerning. To address these concerns, it is essential to explore how these medications are being prescribed and managed in the NH setting. Our objectives were to understand the decision-making process that influences prescribing and factors that trigger administration of antipsychotic medications to residents with dementia in NHs and to explore why residents remain on antipsychotic medications over an extended period of time. Methods: Interviews with prescribers, caregivers, and family members, on-site observations in study facilities, and review of NH resident medical records. Facilities were selected to obtain a diverse sample of NHs. Results: 204 NH residents with dementia in 26 facilities distributed across five selected Centers for Medicaid and Medicare Services regions were included. Problematic behaviors were the dominant reasons offered as influencing prescribing of antipsychotic medications. Providers indicated that they chose an antipsychotic, rather than another drug class, because they believed that antipsychotic medications were more likely to be effective. There was no standard approach to taper attempts. Family members identified a lack of communication as a barrier to their involvement in decision-making. Conclusions: There is widespread perception that antipsychotic medications are effective and beneficial in managing problematic behaviors in NH residents with dementia. Little attention is given to planning for antipsychotic tapering or discontinuation. There may be opportunities to involve family members more fully in decision-making around the use of antipsychotic medications

Patient Adherence to Laboratory Tests to Monitor Medication Therapy: A Mixed-Methods Study

Background Little is known about the contribution of patient behavior to incomplete laboratory monitoring and the reasons for patient non-completion of ordered laboratory tests remain unclear. Objective To describe factors, including patient-reported reasons, associated with non-completion of ordered laboratory tests. Design Mixed-methods study including a quantitative assessment of the frequency of patient adherence to ordered monitoring tests combined with qualitative, semi-structured, patient interviews. Participants Quantitative assessment included patients 18 years or older from a large multispecialty group practice prescribed a medication requiring monitoring. Qualitative interviews included a subset of adherent and non-adherent patients prescribed a cardiovascular, anti-convulsant, or thyroid replacement medication. Main Measures Proportion of recommended monitoring tests for each medication not completed, factors associated with patient non-adherence, and patient-reported reasons for non-adherence. Results Of 27,802 patients who were prescribed one of 34 medications, patient non-completion of ordered tests varied (range: 0% to 29%, by drug-test pair). Factors associated with higher odds of test non-completion included younger patient age (\u3c 40 years vs. ≥80 years, adjusted odds ratio [AOR] 1.52, 95% confidence interval [95% CI] 1.27-1.83), lower medication burden (1 medication vs. more than 1 drug, AOR for non-completion 1.26, 95% CI 1.15-1.37), and lower visit frequency (0-5 visits/year vs. ≥19 visits/year, AOR 1.41, 95% CI 1.25 to 1.59). Drug-test pairs with black box warning status were associated with greater odds of non-completion compared to drugs included only in the PDR (AOR 1.91, 95% CI 1.66-2.19). Qualitative interviews, with 16 non-adherent and 7 adherent patients, identified forgetting as the main cause of non-adherence. Conclusions Patient non-adherence contributed to missed opportunities to monitor medications and was associated with younger patient age and lower medication burden and black box warning status. Interventions to improve laboratory monitoring should target patients as well as physicians

Use of Electronic Health Record Access and Audit Logs to Identify Physician Actions Following Noninterruptive Alert Opening: Descriptive Study

BACKGROUND: Electronic health record (EHR) access and audit logs record behaviors of providers as they navigate the EHR. These data can be used to better understand provider responses to EHR-based clinical decision support (CDS), shedding light on whether and why CDS is effective. OBJECTIVE: This study aimed to determine the feasibility of using EHR access and audit logs to track primary care physicians\u27 (PCPs\u27) opening of and response to noninterruptive alerts delivered to EHR InBaskets. METHODS: We conducted a descriptive study to assess the use of EHR log data to track provider behavior. We analyzed data recorded following opening of 799 noninterruptive alerts sent to 75 PCPs\u27 InBaskets through a prior randomized controlled trial. Three types of alerts highlighted new medication concerns for older patients\u27 posthospital discharge: information only (n=593), medication recommendations (n=37), and test recommendations (n=169). We sought log data to identify the person opening the alert and the timing and type of PCPs\u27 follow-up EHR actions (immediate vs by the end of the following day). We performed multivariate analyses examining associations between alert type, patient characteristics, provider characteristics, and contextual factors and likelihood of immediate or subsequent PCP action (general, medication-specific, or laboratory-specific actions). We describe challenges and strategies for log data use. RESULTS: We successfully identified the required data in EHR access and audit logs. More than three-quarters of alerts (78.5%, 627/799) were opened by the PCP to whom they were directed, allowing us to assess immediate PCP action; of these, 208 alerts were followed by immediate action. Expanding on our analyses to include alerts opened by staff or covering physicians, we found that an additional 330 of the 799 alerts demonstrated PCP action by the end of the following day. The remaining 261 alerts showed no PCP action. Compared to information-only alerts, the odds ratio (OR) of immediate action was 4.03 (95% CI 1.67-9.72) for medication-recommendation and 2.14 (95% CI 1.38-3.32) for test-recommendation alerts. Compared to information-only alerts, ORs of medication-specific action by end of the following day were significantly greater for medication recommendations (5.59; 95% CI 2.42-12.94) and test recommendations (1.71; 95% CI 1.09-2.68). We found a similar pattern for OR of laboratory-specific action. We encountered 2 main challenges: (1) Capturing a historical snapshot of EHR status (number of InBasket messages at time of alert delivery) required incorporation of data generated many months prior with longitudinal follow-up. (2) Accurately interpreting data elements required iterative work by a physician/data manager team taking action within the EHR and then examining audit logs to identify corresponding documentation. CONCLUSIONS: EHR log data could inform future efforts and provide valuable information during development and refinement of CDS interventions. To address challenges, use of these data should be planned before implementing an EHR-based study.

The Iowa Homemaker vol.10, no.4

Help Fight Goiter With Seaweed by Sarah Field, page 1 Let’s Talk Collegiate Styles by Jerry Martin, page 2 The Friendly House with White Pillars by Ila Woodburn, page 2 “Chicago – Hog Butcher” by Mary Morrison Beyer, page 3 Is Your Room an Adventure? by Margaret McDonough, page 3 Manicure That Precious Antique by Nora Workman, page 4 “Prep Dorm” Has Vivid History by Madge McGlade, page 4 4-H Club by Helen Melton, page 6 I Want to Be Beautiful! by A. Co-ed, page 6 State Association by Marcia E. Turner, page 8 Why Buy Baker’s Cakes? by Nellie Goethe, page 9 Editorial, page 11 Alumnae News by Dorothy B. Anderson, page 12 Who Wants a Hole-in-the-Wall? By Edith Graham et al, page 1

Intervention to Reduce Adverse Outcomes among Older Adults Discharged from Skilled Nursing Facilities to Home

Background: Older adults may be at risk for adverse outcomes after discharge from skilled nursing facilities (SNF), but little research has focused on this transition. Objective: To assess the impact of an alert system on the rates of adverse outcomes among older adults discharged from SNFs to home. Methods: Within a multispecialty group practice, we tracked 30-day re-hospitalizations after SNF discharges during an intervention that provided discharge alerts to primary care physicians. We compared them to discharges from the pre-intervention period matched on age, gender and SNF. For the first 100 intervention discharges and their matches, we performed chart reviews to identify adverse drug events (ADEs). Multivariate analyses controlled for age, gender and intervention status. Results: We matched 313 intervention SNF discharges to 313 previous discharges. There was a slight reduction in the rate of 30-day re-hospitalization (30% vs. 31%) adjusted. Within the ADE study, 30% of the discharges during the intervention period and 30% of matched discharges had ADEs within 45 days. Among the 83 ADEs identified, 28% were deemed preventable; 69% resulted in symptom duration more than one day; 69% occurred within the first 14 days after discharge. This was a highly vulnerable population: mean age 82.5 (standard deviation (SD) 6.7); mean number of prescribed medications 11.9 (SD 8); 17% had Charlson Comorbidity Scores of ≥4. Common clinical conditions included myocardial infarction (24%), heart failure (22%), COPD (23%), and major depression (28%). Patients with scores of ≥4 were more likely to experience an ADE than those with lower scores (adjusted OR 2.5 (CI 1.2, 5.5), RD 0.21). Conclusion: Simply providing alerts when these vulnerable patients are discharged from SNFs is not sufficient to lower rates of adverse outcomes. Further research is required to track trajectories and identify additional points for interventions